Data Engineer, Senior

Senior Data Scientist - Machine Learning

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

Software Engineer

Data Analyst Manager

Senior Software Engineer

Senior AI Engineer

Data Engineer

Responsibilities: <ul><li>Design, develop and deploy process automation workflows to support Smart Factory operation.</li><li>Extract, transform and analyze data into accurate, meaningful and actionable reports to support operational and business decision making, such as yield reports with data visualizations and recommendations.</li><li>Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System such as Discover Yield tools, Tableau dashboards as well as Advanced Yield Examination internal tools.</li><li>With Product and Process knowledge, ensure data integrity for YMS tools.</li><li>Combine statistics, machine learning and computer science to turn data into actionable insights for solving complex process issue(s).</li><li>Design, build and maintain Predictive AI Models to enable proactive decision-making.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Computer Science or&nbsp;Electronic/Electrical Engineering, with min. 2 years’ experience in Data Analytics field.</li><li>Proficiency in SQL and experience working with relational databases.</li><li>Strong working knowledge of statistics and its applications.</li><li>Experience in building automated reports.</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust, scalable, and secure web applications.</li><li>Utilize Object-Oriented design principles and best practices to ensure high-quality software.</li><li>Write clean, efficient, and well-documented code in C# with both .NET Core and .NET Framework.</li><li>Ensure adherence to Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Create and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.</li><li>Automate repetitive tasks in the software development lifecycle, including builds, testing, and deployments.</li><li>Configure and maintain infrastructure for CI/CD pipelines, including servers and containerized environments.</li><li>Leverage cloud platforms like AWS, Azure, or GCP for scalable infrastructure and application management.</li><li>Incorporate DevOps principles to foster collaboration between development and operations teams.</li><li>Integrate unit testing frameworks (e.g., NUnit) into pipelines to ensure robust software quality.</li><li>Utilize test-driven development practices to enhance software reliability.</li><li>Work closely with developers, QA engineers, and operations teams to streamline workflows and address feedback.</li><li>Demonstrate strong communication skills to present ideas, solutions, and progress effectively.</li><li>Monitor CI/CD pipeline execution and troubleshoot issues promptly to minimize downtime.</li></ul> Requirements: <ul><li>Demonstrated knowledge of software application development (certifications and experience considered in lieu of a degree).</li><li>6+ years of experience in software development using C# and .NET.</li><li>5+ years of experience in developing .NET applications, including .NET Core and .NET Framework.</li><li>Proven experience in building enterprise-level web applications.</li><li>Strong background in Object-Oriented design and development.</li><li>Advanced JavaScript experience, including closures and prototype inheritance.</li><li>Proficiency in SQL (DDL and DML) and experience managing database structures.</li><li>Solid understanding of Web Standards (XML, JSON, HTML, CSS, APIs, Web Services).</li><li>Demonstrated use and knowledge of design patterns and cloud-native technologies.</li><li>Experience with Agile methodologies and iterative development processes.</li><li>Proficiency in CI/CD tools such as Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline is required.</li></ul> Preferred work experience and skills: <ul><li>Strong proficiency in C#, JavaScript, and scripting languages like Bash, Python, or PowerShell for task automation.</li><li>Expertise in popular CI/CD platforms like Jenkins, GitLab CI, Azure DevOps, or AWS Code Pipeline.</li><li>Deep understanding of Git and branching strategies for effective code management.</li><li>Familiarity with unit testing frameworks like Unit, JUnit to integrate automated testing into pipelines.</li><li>Knowledge of cloud platforms like AWS, Azure, or GCP for scalable infrastructure management.</li><li>Familiarity with containerized environments (e.g., Docker, Kubernetes) and microservices architecture.</li><li>Exceptional problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities.</li><li>Self-motivated and able to work independently with minimal supervision.</li><li>Detail-oriented with excellent organizational skills.</li></ul>

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Role Description: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li></ul> Responsibilities: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>CONTINUOUS IMPROVEMENT: Makes suggestions for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Software Engineer: Minimum requirement of 3 years of relevant work experience.&nbsp;</li><li>React/Typescript/UI</li><li>Java/Spring Boot/Python/APIs</li><li>PostgreSQL</li><li>CI/CD pipelines</li><li>AWS/Azure Cloud Services</li></ul>

Responsibilities: Core Analytics &amp; Insight Generation: <ul><li>Lead advanced analysis across digital behavior, customer engagement, campaign performance, funnel conversion, and eCommerce/POS sales impact.</li><li>Transform complex datasets into clear insights and recommendations that improve marketing performance, segmentation, and content targeting.</li><li>Conduct market, customer, and competitive analytics to identify opportunities, threats, and whitespace for growth.</li><li>Develop and maintain data-driven customer segments, ICP models, behavioral profiles, and opportunity sizing frameworks.</li></ul> Data Products, Measurement &amp; Reporting: <ul><li>Own and continuously optimize dashboards, analytical models, and reporting tools that enable visibility into performance and ROI.</li><li>Define and implement measurement frameworks, attribution logic, KPI hierarchies, and performance scorecards across marketing channels.</li><li>Build scalable data products that improve the accuracy, availability, and usability of marketing and commercial datasets.</li></ul> Data Management &amp; Governance: <ul><li>Ensure data quality, consistency, and governance across marketing, CRM, web analytics, and eCommerce datasets.</li><li>Partner with BI, Digital Technology, and data engineering teams to optimize data pipelines, tagging/instrumentation, and data taxonomy.</li></ul> Cross-Functional Analytics Partnership: <ul><li>Collaborate with marketing, sales, eCommerce, and product teams to understand business questions and translate them into analytical solutions.</li><li>Present insights to stakeholders at various levels, guiding decision‑making with clear narratives and fact‑based recommendations.</li><li>Share analytics best practices and educate teams on interpreting data and leveraging insights for better outcomes.</li></ul> Requirements: Desired Skills &amp; Experience: <ul><li>Strong quantitative and analytical skills with experience in digital analytics, customer analysis, attribution, and commercial data.</li><li>Ability to translate data into strategic insights and communicate them clearly to both technical and non‑technical stakeholders.</li><li>Experience with web analytics tools (e.g., GA4, Adobe), BI platforms (Power BI/Tableau), and CRM/marketing automation systems.</li><li>Technical proficiency in SQL, data modeling, and large dataset manipulation (preferred).</li><li>Detail-oriented with a strong sense of ownership, accountability, and proactive problem solving.</li><li>Demonstrated ability to partner cross‑functionally and influence decision‑making through data.</li><li>Comfortable working in a dynamic environment with evolving priorities.</li></ul> Required Qualifications: <ul><li>12 years+ experience overall, with 6+ years of experience in analytics, data insights, digital analytics, marketing science, business intelligence, or related fields.</li><li>Analytics function leadership &amp; team management experience preferred.</li><li>Strong experience analyzing digital marketing data, customer behavior data, funnel metrics, and/or commercial revenue datasets.</li><li>Experience in B2B, digital marketing analytics, or eCommerce analytics is highly valuable but not required.</li><li>Proven ability to turn complex datasets into business-ready insights and clear narratives.</li><li>Hands-on expertise with:</li><li>Web analytics platforms (GA4, Adobe Analytics)</li><li>BI tools (Power BI, Tableau)</li><li>CRM and marketing automation systems (Salesforce, Marketo, Eloqua, etc.)</li><li>Comfortable working with large &amp; complex datasets.</li><li>Demonstrated experience influencing decision‑making in a cross-functional environment.</li><li>Detail-oriented, accountable, and proactive in identifying and addressing analytical needs.</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Senior Software Engineer: Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Software Engineer: Minimum requirement of 2 years of relevant work experience.</li><li>Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

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32 sql Jobs found

Data Engineer, Senior

Senior Data Scientist - Machine Learning

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

Software Engineer

Data Analyst Manager

Senior Software Engineer

Software Engineer

Senior AI Engineer

Data Engineer

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32 sql Jobs found

Data Engineer, Senior

Senior Data Scientist - Machine Learning

Senior Software Engineer 1 (.Net)

Senior Machine Learning Engineer

Software Engineer

Data Analyst Manager

Senior Software Engineer

Software Engineer

Senior AI Engineer

Data Engineer

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